Bryan C. Email & Phone Number

Seattle, WA, US

• Fraud & Abuse Prevention (a.k.a Community Trust):
• Protect shoppers from inappropriate and untrustworthy community contributors and contents (e.g., Reviews, Q&A, Votes)
• Build systems to detect abuse at scale and share the decisions with other teams
• Tech Stack: AWS, Java, Guice, Akka, SQLContributions:
• Lead retrospective meetings of the team, drive discussions to improve the development processes

Seattle, WA, US

• Community TrustContributions:
• Designed and implemented a data backfilling workflow to migrate ~31 billion records (~12 TB) from the old data store to the new one, tackled complex problems including: (1) cleaning malformed legacy data, (2) exploring.
• Completed the data migration seamlessly with no system downtime, i.e., the system continuously served clients and processed live traffic during the migration
• Proposed and implemented several data deletion solutions so that our data stores conform with the General Data Protection Regulation
• Hosted Q&A sessions (both in-person and virtual) for interns
• Lead retrospective meetings of the team, drive discussions to improve the development processes

Seattle, WA, US

• Designed and implemented a benchmarking framework to automate code testing and deployment
• Researched computer vision related algorithms, implemented the benchmarking logic in Python
• Wrote YAML files to orchestrate and manage cloud resources
• Developed Docker files to containerize the benchmarking source code package

• Identified 12 bugs in central management system (CMS) of security cameras with integration test in C++
• Tested basic operations (pan, tilt and zoom) and recording functions of 7 cameras
• Corrected roughly 10 mistakes in CMS User Manual, both technical and grammatical

• Designed and 3D-print an electronic part sample
• Established partnership with 2 companies
• Completed 4 transactions with 4 different companies with gross profit of over $60,000

北京, Beijing, CN

• Research: 3D Scanning and Reconstruction with Intel RealSense Camera
• Researched, implemented, and improved 25 algorithms relevant to image filtering, feature extraction, point cloud registration, and surface reconstruction (largely in C++)
• Developed open-source software for 3D reconstruction without proprietary APIs
• Awarded “Remarkable Research Prize of Tsinghua University” (top 2%)

北京, Beijing, CN

• Research: Web-video Classification System Based on Audio and Visual Information
• Wrote scripts to preprocess web videos and extract over 20 kinds of audio and visual features, including Mel-frequency cepstral coefficients (MFCCs) and color histograms
• Trained a convolutional neural network (CNN) to classify videos
• Ranked first out of nearly 70 systems developed by other students in F-score on test sets

Master Of Computational Data Science (Mcds), Computer Science

Bachelor Of Engineering - Be, Electronic Information Science And Technology